You will get full services of RStudio Software | R
Project details
Greetings!
I am an RStudio Expert and can drive data-driven decision-making and growth. My expertise include statistical analysis, data manipulation, and visualization, making me a go-to professional for advanced data analytics solutions.
Skills:
• Statistical Computing with R: Profound expertise in using R for statistical analysis, including hypothesis testing, linear regression, and time-series analysis.
• Manipulating and analyzing data with dplyr, tidyr, and data.table in R.
• Data Visualization: Crafting compelling data stories using ggplot2 and plotly in R. My visualizations are not only informative but also aesthetically appealing, enhancing the interpretability of complex datasets.
• Machine Learning
• Tidyverse
• Data Cleaning
• Clustering
• Data & Statistical Analysis
• Descriptive Statistics
• Data Analyzing
• Hypothesis Testing
• Correlation
• Linear Regression
• Parametric and Non parametric
• Graph & Charts
• Distribution Analysis
• ANOVA Models
• ggplot2
• dpplyr
• data frame
• microbenchmark
Any other Analysis
I am an RStudio Expert and can drive data-driven decision-making and growth. My expertise include statistical analysis, data manipulation, and visualization, making me a go-to professional for advanced data analytics solutions.
Skills:
• Statistical Computing with R: Profound expertise in using R for statistical analysis, including hypothesis testing, linear regression, and time-series analysis.
• Manipulating and analyzing data with dplyr, tidyr, and data.table in R.
• Data Visualization: Crafting compelling data stories using ggplot2 and plotly in R. My visualizations are not only informative but also aesthetically appealing, enhancing the interpretability of complex datasets.
• Machine Learning
• Tidyverse
• Data Cleaning
• Clustering
• Data & Statistical Analysis
• Descriptive Statistics
• Data Analyzing
• Hypothesis Testing
• Correlation
• Linear Regression
• Parametric and Non parametric
• Graph & Charts
• Distribution Analysis
• ANOVA Models
• ggplot2
• dpplyr
• data frame
• microbenchmark
Any other Analysis
Machine Learning Tools
Microsoft Excel, NumPy, pandas, Python, Python Scikit-Learn, R, SciPyWhat's included
| Service Tiers |
Starter
$20
|
Standard
$30
|
Advanced
$35
|
|---|---|---|---|
| Delivery Time | 3 days | 2 days | 1 day |
Number of Revisions | 5 | 9 | Unlimited |
Number of Model Variations | 1 | 2 | 3 |
Number of Scenarios | 1 | 2 | 3 |
Model Validation/Testing | |||
Model Documentation | |||
Data Source Connectivity | |||
Source Code |
Optional add-ons
You can add these on the next page.
Fast Delivery
+$1 - $2
Additional Revision
+$5
Additional Model Variation
(+ 1 Day)
+$5
Additional Scenario
(+ 1 Day)
+$5
Additional Graph/Chart
(+ 1 Day)
+$5About Muhammad
Statistical Analyst in R | Rstudio
Lahore, Pakistan - 10:25 pm local time
Skills:
- Data Cleaning and Data manipulation to prepare data for the analysis
- Exploratory Data Analysis using visualizations and summary statistics to help understand the data.
- Using R for statistical analysis, including hypothesis testing, linear regression, correlation, paramatric and non-parametric tests, distribution analysis, and time-series analysis.
- Manipulating and analyzing data with dplyr, tidyr, and data.table in R.
- ANOVA Models
- Visualizatoins using ggplot2 and plotly in R.
- Managing and analyzing large datasets using R's big data packages like bigmemory and ff.
- Analyze customer data, enhancing client engagement through insightful metrics and predictive models.
- machine learning models to predict and classify the data
- Segmentation using clustering, k-means etc
Looking forward to the potential collaboration.
Warm regards,
Ali
Steps for completing your project
After purchasing the project, send requirements so Muhammad can start the project.
Delivery time starts when Muhammad receives requirements from you.
Muhammad works on your project following the steps below.
Revisions may occur after the delivery date.
Data Cleaning and Data Processing
As a first and foremost part of any analysis, I will clean the data removing any duplicates or missing values and filtering down the data that need to be analyzed.
Run the required tests for the Analysis
Once the data is cleaned, I will run the codes and analyse the data i.e running regression models, making machine learning model, making any visualizations etc.